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Design, Fabrication, And Characterization Of A Microgripper Device, Jose A. Martinez, Roberto R. Panepucci

Florida Conference on Recent Advances in Robotics

In this work, we present the development process of SU-8 polymer based microgrippers applied to novel parallel displacement geometry and assembly techniques. Finite element based simulations were utilized to determine the geometry dimensions, and to verify its operation. Two actuation techniques, mechanical, and piezoelectric are implemented, and characterized. The fabrication process requires a single mask, and it is described along with the assembly process required to implement the actuator-microgripper system. Experimental results are presented for both actuation techniques, along with failure analysis. The microgrippers are designed to manipulate microstructures in the range of 5 to 50μm.

Robotic Arm Manipulator Control For Sg5-Ut, Hussain Sultan, Eric M. Schwartz

Florida Conference on Recent Advances in Robotics

This paper presents a complete forward and inverse kinematics solution for SG5-UT, 5 DOF robotic arm. The solution is intended to be implemented on a microprocessor to control the arm in any environment. The control presented in the paper makes it possible to manipulate the arm to any reachable position. The algorithm derived in this paper has been successfully tested on the arm. This arm is analyzed for the purposes of being mounted on a humanoid robot, called Gnuman.

Paleokarst Coastal Caves At Torricelle Hills (Lessini Mountains, Venetian Prealps, Italy), Guido Gonzato, Enrico Borghi, Roberto Chignola, Nereo Preto, Guido Rossi

International Journal of Speleology

This paper describes a set of paleokarst caves at Torricelle Hills near Verona (Southern Alps, Italy.) At this locality, erosional surfaces and paleokarst cavities show that sedimentation of late Paleogene neritic limestones was interrupted by subaerial exposure. Karst features developed during a phase of marine regression that started after the early Oligocene and ended in the mid Miocene. These caves were originally completely filled by iron oxides- and hydrated oxides-rich paleosol sediments (ochre) that, for centuries, have been mined for pigments. Mining activity emptied the caves, leaving the voids and related shapes mostly intact; as a result, the original morphologies …

The Process Of Government In Clearwater, Florida, Picot Deboisfeuillet Floyd

USF Tampa Graduate Theses and Dissertations

Based upon participant observation as city manager, the dissertation examines political processes involved in four episodes relating to the government of the City of Clearwater, Florida: the selection of a site for a branch campus of the University of South Florida, the application of technology assessment techniques to growth issues, attempts to regulate a pornographic movie and supply store, and the arrest of the city attorney. Non-mathematical game theory is used as a model for the analysis, which demonstrates that game-like processual activity takes place in a governmental structure based upon cooperation. Such analysis can have a direct impact on …

Development Of Bioactive Peptidomimetics, Lei Wang

USF Tampa Graduate Theses and Dissertations

In the past two decades, a lot of different peptidomimetics, such as β-peptides, oligoureas, azapeptides, peptoids, aromatic oligoamides, and others, have been developed. These peptidomimetics with distinctive scaffolds have shown potential in protein surface recognition and mimicry, PPI regulation, catalysis, etc. Moreover, these bioactive peptidomimetics demonstrate much better bioavailability and biostability than the bioactive peptides. To expand the application of peptidomimetics, our group have developed a new sequence-specific peptidomimetics- γ-AApeptide, which is derived from chiral γ-PNA. It shows excellent advantages including highly resistant to various proteolytical degradations and has the potential to increase chemodiversity. γ-AApeptide also exhibits remarkable biomedical applications, …

Development Of Antiviral Peptidomimetics, Songyi Xue

USF Tampa Graduate Theses and Dissertations

Protein-protein interactions (PPIs) are essential for biological processes and are associated with a number of diseases, including cancer, infectious diseases, and neurodegenerative diseases. As a result, modulation of PPIs has been recognized as one of the most promising strategies to develop the novel drugs. Peptide modulators always exhibit higher specificity and affinities with targets than small compounds or monoclonal antibodies, but their broad medicinal effectiveness is constrained by their poor bioavailability and biostability. Peptidomimetics, which have been developed to mimic the structure as well as function of bioactive peptides and proteins, have shown excellent potential in protein surface mimicry and …

An Attempt To Identify Source Areas Of Clastic Deposits From Selected Caves Of The Prokletije Mountains (Montenegro): A Mineralogical And U-Series Geochemistry Approach, Ditta Kicińska, Jacek Pawlak, Jacek Stienss

International Journal of Speleology

The Prokletije Mountains/Albanian Alps are the highest part of the Dinaric Mountains. Paradoxically, these mountains and their cave areas remain among the most enigmatic in Europe, having only recently become subjects of scientific research and cave exploration. This paper focuses on the Kolata and Greben massifs, where the highest, and thus the oldest, cave systems are located. Through the analysis of heavy mineral composition, the apatite-tourmaline index, and cluster analysis for mineralogical composition and uranium isotopic data, it becomes possible to identify the source areas for the cave clastic deposits. It also allow to distinguish multiple paleoflow directions, each corresponding …

Using Small Uas For Stem Education: Introducing Robotics And Mechatronics With Drones, Christian Janke, Stefan Kleinke, Kimberly Luthi, Yuetong Lin

Florida Conference on Recent Advances in Robotics

Several global developments point to importance of STEM-related education and studies. Every industry sector faces challenges in the recruiting of qualified personnel, due to retiring employees and general economic growth. Also, several domains, foremost automotive and aviation are undergoing a tremendous shift towards electrification to achieve sustainability. Hence, sparking the interest in STEM studies, education and vocational training cannot start early enough. This paper introduces the benefits of the educational use of sUAS by identifying core benefits in the three domains of learning – cognitive, affective, psycho-motor. Preliminary data and survey results from from several science, technology, engineering and math …

Commencement Convocation Program, Usf, August 8, 2023, University Of South Florida

USF Graduation and Convocation Programs

King O'Neal Scholars - Emma Grace Atherton, Alisa Bakieva, Ginelle Renae Lauryn Brown, Tatyana Soribel Butler, Carter E. Casko, Carli Lilibeth Cohoon, Sarah Lou Shalom Dasent Shuler, Carlos Manuel Figueroa Palomino, Lanette Gonzalez-Lewis, Grace Angelique Heeke, Daniel Thomas Kortenhaus, Emily Margaret Logan, Makayla Long, Abigail Clariece McCurter, Elijah Callaway Mceuen, Sofia Elizabeth Mejia-Naccarato, Rachel Yvonne Stanton, Edward B. Williams, and Parisa Yazdankhah Kenary; Global Citizens Award - Sarah Bagnasco, Sydney Black, Carly Burton, Gladys D. Cantu, Sara Chaj, Lauren Flannery, Emily Hernandez, Anagha Hesaraghatta, Faith Pinamang, Katie Sarnelli, Natalie Spanhake, Kenya A. Sanchez Torres, and Neha Vemuri

Bibliometric Analysis Of Sustainability In Gastronomy Research, Nihan Akdemir, Bilsen Bilgili

University of South Florida (USF) M3 Publishing

Sustainability can be called the ability to be permanent. The economic, social and ecological dimensions of sustainability are important in terms of gastronomy. The rapid development of gastronomy in recent years has led many studies in literature to discuss gastronomy from different perspectives. The aim of this study is to reveal the development of national and international research on sustainability in gastronomy over the years with bibliometric analysis. In this context, Web of Science (WOS) and ULAKBIM TR-Dizin databases were examined in the analysis of the data until February 2023. For this purpose, articles were selected from the relevant sources …

Predictive Modeling Of Cave Entrance Locations: Relationships Between Surface And Subsurface Morphology, William Blitch, Adia R. Sovie, Benjamin W. Tobin

International Journal of Speleology

Cave entrances directly connect the surface and subsurface geomorphology in karst landscapes. Understanding the spatial distribution of these features can help identify areas on the landscape that are critical to flow in the karst groundwater system. Sinkholes and springs are major locations of inflow and outflow from the groundwater system, respectively, however not all sinkholes and springs are equally connected to the main conduit system. Predicting where on the landscape zones of high connectivity exist is a challenge because cave entrances are difficult to detect and imperfectly documented. Wildlife research has a similar issue of understanding the complexities of where …

An Introduction To The Algebra Revolution, Art Bardige

Numeracy

Bardige, Art. 2022. The Algebra Revolution: How Spreadsheets Eliminate Algebra 1 to Transform Education; (Bookbaby) 135 pp. UNSPSC 55111505.

The Algebra Revolution: How Spreadsheets Eliminate Algebra 1 to Transform Education argues that Algebra 1 can be eliminated by teaching mathematics through spreadsheets. Such a change would eliminate the greatest roadblock to student achievement.

Covid Learning Loss: A Call To Action, Nathan D. Grawe

Numeracy

The COVID-19 pandemic and policy responses designed to mitigate transmission have caused deep and persistent mathematics learning loss among K–12 students. While initial data might have been read optimistically as a blip that would reverse once schools returned to normal, 2023 data from the National Assessment of Educational Progress (NAEP) show that losses persist. While the NAEP does not directly measure quantitative reasoning (QR), the data present a disturbing picture for QR instruction and call for new lines of research that inform QR pedagogical response.

Bite-Sized Quantitative Reasoning Essays: A Review Of Numbers Don’T Lie: 71 Stories To Help Us Understand The Modern World (2020), By Vaclav Smil, Samuel L. Tunstall

Numeracy

In Numbers Don’t Lie: 71 Stories to Help Us Understand the Modern World (2020), Vaclav Smil draws on his interdisciplinary background in science, public policy, and history to provide readers with 71 short essays that help us better understand aspects of the world–including its people, environment, energy consumption, and present crises (among other things). In most of his essays, Smil utilizes both data and reasoning with data to shed light on diverse topics, with issues ranging from happiness rankings and vaccine payoffs to chicken production and diesel engines. Though the book arguably has some flaws, its easy-to-digest essays–many of which …

Measurement Apparatus Of Wavefront And Polarization Profile Of Vectorial Optical Fields, Zhimin Shi, Darrick Hay, Ziyi Zhu, Yiyu Zhou, Robert W. Boyd

USF Patents

An apparatus measures the transverse profile of vectorial optical field beams, including both the phase and the polarization spatial profile. The apparatus contains a polarization separation module, a weak perturbation module, and a detection module. Characterizing the transverse profile of vector fields provides an optical metrology tool for both fundamental studies of vectorial optical fields and a wide spectrum of applications, including microscopy, surveillance, imaging, communication, material processing, and laser trapping.

Synthesis Of Tools For The Investigation And Treatment Of Infectious Diseases, Grant Lawrence

USF Tampa Graduate Theses and Dissertations

Modern medicine’s ability to treat a wide array of diseases is due mainly to the development of small-molecule drug discovery. Thousands of years of traditional medicines have been dwarfed in less than a hundred years. In addition, drug discovery has becoming a more consistent process with the introduction of the clinical trials process as well.Plasmodium is a genus of tropical parasites that have the potential to wreak havoc on billions of people globally. Current methods of drug discovery aimed at defeating these parasites require expensive assays that use radioactive material. By using an alkyne-labeled agent instead of a tritium-labeled agent, …

Synthesis Of Small Molecule Modulators Of Non-Traditional Drug Targets, Jamie Nunziata

USF Tampa Graduate Theses and Dissertations

This work details the effort toward structure-activity-relationship (SAR) studies and synthesis of the small molecule modulators of two non-traditional drug targets. The first part of this manuscript (chapters 1–2) will discuss the collaborative work and synthesis of an inhibitor of Slingshot Homology 1 (SSH1) with the potential therapeutic application toward Alzheimer’s Disease (AD) treatment. The second part (chapters 3–6) will discuss the synthetic efforts toward modulation of a protein target known as STING, or stimulator of interferon genes, with the therapeutic application toward autoimmune disease or anti-tumor activity.

AD is a progressive and degenerative illness that holds the title of …

Exposure Characteristics Of Environmental Chemicals By Life Stages, Nisha Vijayakumar

USF Tampa Graduate Theses and Dissertations

Environmental chemicals are ubiquitous and can contribute to human exposure. These exposures can result in long-term health consequences if they occur in early life. However, exposures to environmental chemicals are not evenly distributed throughout childhood. As a result, there exists variation in the levels of chemical exposure depending on the developmental stages, pathways of exposure, and broader systemic factors. However, in early life, limited research exists on exposures to environmental chemicals, particularly phthalates, pesticides, and polycyclic aromatic hydrocarbons (PAHs). In addition, environmental exposures to phthalates, pesticides, and PAHs, considering life stages, have not been fully explored. Hence it is imperative …

Machine Learning Approach For Static Ransomware Analysis, Aldin Vehabovic

USF Tampa Graduate Theses and Dissertations

Ransomware is a form of malware which uses encryption methods to make data inaccessible to legitimate users. This cyberthreat has emerged as one of the most serious security challenges today, and a wide range of ransomware families have been developed and deployed, causing immense damage to governments, corporations, and private users. As this malware type continues to expand, governments across the world are taking serious steps to limit its reach. In addition, researchers have proposed a range of ransomware detection and attribution schemes, most of which use advanced machine learning (ML) techniques to process and analyze real-world empirical data from …

Using Active Student Responding And Competition Via Kahoot! To Improve Student Academic Engagement At College Level, Brittany Pearson

USF Tampa Graduate Theses and Dissertations

Active student responding (ASR) is an effective intervention used in schools to improve student engagement and academic performance. Among the various ASR modalities, online applications have received much more attention than low-tech ASR modalities due to the widespread use of smartphones and the availability of mobile applications. One totable online application is Kahoot!, which offers a range of interactive features. Considering the limited existing research on using ASR at the college level, particularly, using Kahoot!, this study examined the use of Kahoot! to improve academic engagement in college students. The study was conducted with one undergraduate class in applied behavior …

Meta-Analysis Of United States Seabird Populations Based On Ocean Biodiversity Information System (Obis) Records (1965–2018), Savannah Hartman

USF Tampa Graduate Theses and Dissertations

Understanding the distribution of organisms is an important priority for society as we live through ecosystem transformations that threaten the well-being of all organisms. I have approached the dynamic and complex issue of studying biodiversity by using open-access seabird data collected along the Americas since the 1960s. I explained how these data have changed over time and space, how certain species populations could have shifted over time, and possible correlations between this potential geographic change and select environmental variables.

In Chapter 2 I evaluated the suitability of the open-access data archive Ocean Biodiversity Information System (OBIS) for supporting detailed inquiry …

Exploring The Impact Of Eddies On Southern Ocean Biogeochemical Structure Using Bgc-Argo Float Observations, Nicola J. Guisewhite

USF Tampa Graduate Theses and Dissertations

The Southern Ocean plays a crucial role in global ocean circulation, and global heat and nutrient transport. However, this region is both distant and dangerous and is therefore largely under-sampled and understudied. Methods to fill in biogeochemical data-gaps include using limited in-situ data in models to output biogeochemical property estimates, but a number of recent studies have raised concerns about how most Southern Ocean models do not resolve eddies. Eddies are known to impact biogeochemistry around the globe but little is known about their impact in the Southern Ocean. This study examines temperature, salinity, oxygen, nitrate, and dissolved inorganic carbon …

Optimizing The Membrane-Assisted Recovery Of Solids (Mars) Technology For Nutrient Removal And Recovery From Concentrated Waste Streams, Ben Yamin Hoque

USF Tampa Graduate Theses and Dissertations

The effective management of nutrients, such as nitrogen and phosphorus, in decentralizedwastewater treatment environments is a pressing challenge. These nutrients pose significant risks to the environment and public health when discharged into water bodies, while their recovery and reuse can help alleviate nutrient shortages in various industries, including agriculture. Conventional biological treatment methods used in centralized facilities are not suitable for decentralized systems due to operational complexities and space limitations. Chemical treatment mechanisms, such as adsorption, ion exchange, precipitation, and air-stripping, offer potential solutions but are accompanied by challenges like high costs and logistical issues. Therefore, finding a sustainable and …

Exploration Of Shared Passenger Urban Air Mobility – Integrated Network Design, Operation Scheduling And System Configuration, Zhiqiang Wu

USF Tampa Graduate Theses and Dissertations

Urban air mobility (UAM) is an emerging concept proposed in recent years that uses electric vertical take-off and landing vehicles (eVTOLs). UAM is expected to offer an alternative way of transporting passengers and goods in urban areas with significantly improved mobility by making use of low-altitude airspace. Considering the high capital investment of eVTOLs and relative high fee of using UAM passenger service, a viable UAM format is shared passenger service. Such a service is usually station-based, i.e., with vertiport located in popular sites where potential passengers can access. To understand the viability of such use cases, the vertiport owners …

System And Method For Imaging Tendon Cross Sections For Detecting Voids And Other Deficiencies In Grouted External Tendons, Alberto A. Sagues, Hani Freij, David Adam Dukeman, Christopher Lewis Alexander

USF Patents

An exemplary method of indicating a condition of grout within a post-tensioned tendon involves positioning a magnet and a metallic sensing plate in close proximity to an outer surface of the post-tensioned tendon; rotating the magnet and the metallic sensing plate around the outer surface of the post-tensioned tendon; measuring an amount of magnetic forces applied to the magnet during rotation of the magnet around the post-tensioned tendon; measuring an impedance between the metallic sensing plate and metallic strands within the post-tensioned tendon during rotation of the metallic sensing plate around the post-tensioned tendon; and generating an image of a …

Distributed Process State And Input Estimation For Heterogeneous Active/Passive Sensor Networks, Dzung Minh Duc Tran, Tansel Yucelen, Selahattin Burak Sarsilmaz

USF Patents

Systems and methods are described for estimating a state of a process and an input to the process using a sensor network. Each sensor node in the sensor network is directly to one or more adjacent sensor nodes and indirectly coupled to the remaining sensor nodes through the one or more adjacent sensor nodes. Each sensor node iteratively calculates a new estimated state based on estimations of the state and the input to the process calculated by the sensor node in a previous iteration. The new estimated state is then adjusted based on a difference between a predicted and actual …

Enhancing And Securing Wireless Medical Technology For Diagnosis And Treatment Of Lower Urinary Tract Dysfunction, Farhath Zareen

USF Tampa Graduate Theses and Dissertations

Lower urinary tract dysfunction (LUTD) is a debilitating medical condition that affects millions of individuals worldwide. Urodynamics is the current gold standard for diagnosing LUTD but uses non-physiologically fast, retrograde cystometric filling to obtain a brief snapshot of bladder function. Current state-of-the-art research in bladder monitoring includes ambulatory urodynamics using wireless implantable devices to evaluate bladder function during natural filling for long-term monitoring. However, there are various challenges and limitations to this multi-sensor approach. This research focuses on developing frameworks for automated event detection, data analysis, and optimization of long-term bladder recordingsto improve the diagnosis and treatment of LUTD. In …

Teaching Mathematics To All Learners By Tapping Into Indigenous Legends: A Pathway Towards Inclusive Education, Nahid Golafshani

Journal of Global Education and Research

This study explored the use of Indigenous storytelling in the planning and teaching of mathematical content. In collaboration with Indigenous and non-Indigenous educators, a culturally inclusive mathematical lesson was developed, implemented, and reviewed in an elementary school in Northern Ontario. This study used a culturally authentic approach to address the current educational issue of diversity within the Ontario curriculum and education system. The results of this study suggested that utilizing Indigenous storytelling for teaching mathematical curricular expectations could benefit both Indigenous and non-Indigenous students. Storytelling can allow students to relate abstract mathematical concepts to their own lived experiences, to be …

Teacher Candidate Self-Efficacy And Ability To Teach Literacy: A Comparison Of Residency And Traditional Teacher Preparation Models, Doreen L. Mazzye, Michelle A. Duffy, Richard L. Lamb

Journal of Global Education and Research

This comparative study explored self-efficacy and ability for scientifically-based literacy instruction between a traditional and residency model of teacher preparation. Pre-/post-survey data was collected using the Teachers’ Sense of Efficacy for Literacy Scale. Mentor teachers completed a modified version of the survey on candidates’ abilities. Data were analyzed using paired sample t-tests, independent sample t-tests, and a trend analysis. Results revealed that candidates in the Residency Model held higher levels of self-efficacy for literacy instruction than in the Traditional Model. Mentor teachers rated candidates in the Residency Model as more able to teach literacy than those in the …

Optimization Techniques For Machine Learning Inference And Near Memory Image Processing In Hardware For Highly Constrained Iot Edge Nodes, Rajeev Joshi

USF Tampa Graduate Theses and Dissertations

The growing demand for fast and energy-efficient hardware for resource-constrained Internet of Things (IoT) edge devices has highlighted the limitations of conventional computing architectures. This research focuses on addressing the demand for fast, optimized, and energy-efficient machine learning inference engines as well as image processing in IoT edge applications. In this work, we address three challenging research problems and devise efficient solutions. Our investigation involved comprehensive exploration and analysis, leading to the proposal of effective approaches for overcoming these demanding issues. Through our work, we contribute novel solutions that offer improved efficiency and effectiveness in handling these research problems.

First, …